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<table width="100%" summary="page for poisons"><tr><td>poisons</td><td align="right">R Documentation</td></tr></table>

<h2>
Animal Survival Times
</h2>

<h3>Description</h3>


<p>The <code>poisons</code> data frame has 48 rows and 3 columns.
</p>
<p>The data form a 3x4 factorial experiment, the factors being three poisons
and four treatments.  Each combination of the two factors was used for
four animals, the allocation to animals having been completely randomized.
</p>


<h3>Usage</h3>

<pre>
poisons
</pre>


<h3>Format</h3>


<p>This data frame contains the following columns:
</p>

<dl>
<dt><code>time</code></dt><dd>
<p>The survival time of the animal in units of 10 hours.
</p>
</dd>
<dt><code>poison</code></dt><dd>
<p>A factor with levels <code>1</code>, <code>2</code> and <code>3</code> giving the type of poison used.
</p>
</dd>
<dt><code>treat</code></dt><dd>
<p>A factor with levels <code>A</code>, <code>B</code>, <code>C</code> and <code>D</code> giving the treatment.
</p>
</dd></dl>


<h3>Source</h3>


<p>The data were obtained from
</p>
<p>Box, G.E.P. and Cox, D.R. (1964) An analysis of transformations (with
Discussion). 
<EM> Journal of the Royal Statistical Society, B</EM>, <B>26</B>, 211&ndash;252.
</p>


<h3>References</h3>


<p>Davison, A.C. and Hinkley, D.V. (1997) 
<EM>Bootstrap Methods and Their Application</EM>. Cambridge University Press.
</p>


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